ollama/llama/llama.cpp/tools/mtmd/clip-impl.h

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#include "ggml.h"
#include "gguf.h"
#include "clip.h"
#include <climits>
#include <cstdarg>
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
#include <cinttypes>
#include <string>
#include <map>
#include <sstream>
#include <vector>
#include <memory>
// Internal header for clip.cpp
#define KEY_FTYPE "general.file_type"
#define KEY_NAME "general.name"
#define KEY_DESCRIPTION "general.description"
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
#define KEY_PROJ_TYPE "clip.projector_type"
#define KEY_HAS_AUDIO_ENC "clip.has_audio_encoder"
#define KEY_HAS_VISION_ENC "clip.has_vision_encoder"
#define KEY_USE_GELU "clip.use_gelu"
#define KEY_USE_SILU "clip.use_silu"
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
#define KEY_N_EMBD "clip.%s.embedding_length"
#define KEY_N_FF "clip.%s.feed_forward_length"
#define KEY_N_BLOCK "clip.%s.block_count"
#define KEY_PROJ_DIM "clip.%s.projection_dim"
#define KEY_N_HEAD "clip.%s.attention.head_count"
#define KEY_LAYER_NORM_EPS "clip.%s.attention.layer_norm_epsilon"
// vision-specific
#define KEY_IMAGE_SIZE "clip.vision.image_size"
#define KEY_PATCH_SIZE "clip.vision.patch_size"
#define KEY_IMAGE_MEAN "clip.vision.image_mean"
#define KEY_IMAGE_STD "clip.vision.image_std"
#define KEY_FEATURE_LAYER "clip.vision.feature_layer"
#define KEY_PROJ_SCALE_FACTOR "clip.vision.projector.scale_factor"
#define KEY_SPATIAL_MERGE_SIZE "clip.vision.spatial_merge_size"
#define KEY_MM_PATCH_MERGE_TYPE "clip.vision.mm_patch_merge_type"
#define KEY_IMAGE_GRID_PINPOINTS "clip.vision.image_grid_pinpoints"
#define KEY_IMAGE_CROP_RESOLUTION "clip.vision.image_crop_resolution"
#define KEY_WIN_ATTN_PATTERN "clip.vision.n_wa_pattern"
#define KEY_ATTN_WINDOW_SIZE "clip.vision.window_size"
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
#define KEY_MINICPMV_VERSION "clip.minicpmv_version"
#define KEY_MINICPMV_QUERY_NUM "clip.minicpmv_query_num"
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
// audio-specific
#define KEY_A_NUM_MEL_BINS "clip.audio.num_mel_bins"
#define KEY_A_PROJ_STACK_FACTOR "clip.audio.projector.stack_factor"
//
// tensor name constants
//
#define TN_POS_EMBD "%s.position_embd.weight"
#define TN_CLASS_EMBD "v.class_embd"
#define TN_PATCH_EMBD "v.patch_embd.weight" // not rename tensor with ".0" postfix for backwrad compat
#define TN_PATCH_EMBD_1 "v.patch_embd.weight.1"
#define TN_PATCH_BIAS "v.patch_embd.bias"
#define TN_ATTN_K "%s.blk.%d.attn_k.%s"
#define TN_ATTN_Q "%s.blk.%d.attn_q.%s"
#define TN_ATTN_V "%s.blk.%d.attn_v.%s"
#define TN_ATTN_OUTPUT "%s.blk.%d.attn_out.%s"
#define TN_ATTN_K_NORM "%s.blk.%d.attn_k_norm.%s"
#define TN_ATTN_Q_NORM "%s.blk.%d.attn_q_norm.%s"
#define TN_FFN_DOWN "%s.blk.%d.ffn_down.%s"
#define TN_FFN_GATE "%s.blk.%d.ffn_gate.%s"
#define TN_FFN_UP "%s.blk.%d.ffn_up.%s"
#define TN_FFN_GATE "%s.blk.%d.ffn_gate.%s"
#define TN_LN_1 "%s.blk.%d.ln1.%s" // layer norm
#define TN_LN_2 "%s.blk.%d.ln2.%s" // layer norm
#define TN_LS_1 "%s.blk.%d.ls1.%s" // layer scale
#define TN_LS_2 "%s.blk.%d.ls2.%s" // layer scale
#define TN_LN_PRE "%s.pre_ln.%s"
#define TN_LN_POST "%s.post_ln.%s"
#define TN_LLAVA_PROJ "mm.%d.%s"
#define TN_MVLM_PROJ_MLP "mm.model.mlp.%d.%s"
#define TN_MVLM_PROJ_BLOCK "mm.model.mb_block.%d.block.%d.%s"
#define TN_MVLM_PROJ_PEG "mm.model.peg.%d.%s"
#define TN_IMAGE_NEWLINE "model.image_newline"
#define TN_MM_INP_NORM "mm.input_norm.weight"
#define TN_MM_INP_NORM_B "mm.input_norm.bias"
#define TN_MM_INP_PROJ "mm.input_projection.weight" // gemma3
#define TN_MM_SOFT_EMB_N "mm.soft_emb_norm.weight" // gemma3
#define TN_MM_PROJECTOR "mm.model.fc.weight" // idefics3
#define TN_MM_PATCH_MERGER "mm.patch_merger.weight" // mistral small 3.1
#define TN_TOK_IMG_BREAK "v.token_embd.img_break" // pixtral
#define TN_TOK_GLM_BOI "adapter.boi" // glm-edge (these embeddings are not in text model)
#define TN_TOK_GLM_EOI "adapter.eoi" // glm-edge (these embeddings are not in text model)
// mimicpmv
#define TN_MINICPMV_POS_EMBD_K "resampler.pos_embed_k"
#define TN_MINICPMV_QUERY "resampler.query"
#define TN_MINICPMV_PROJ "resampler.proj.weight"
#define TN_MINICPMV_KV_PROJ "resampler.kv.weight"
#define TN_MINICPMV_ATTN "resampler.attn.%s.%s"
#define TN_MINICPMV_LN "resampler.ln_%s.%s"
#define TN_GLM_ADAPER_CONV "adapter.conv.%s"
#define TN_GLM_ADAPTER_LINEAR "adapter.linear.linear.%s"
#define TN_GLM_ADAPTER_NORM_1 "adapter.linear.norm1.%s"
#define TN_GLM_ADAPTER_D_H_2_4H "adapter.linear.dense_h_to_4h.%s"
#define TN_GLM_ADAPTER_GATE "adapter.linear.gate.%s"
#define TN_GLM_ADAPTER_D_4H_2_H "adapter.linear.dense_4h_to_h.%s"
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
// ultravox
#define TN_CONV1D "a.conv1d.%d.%s"
#define TN_MM_AUDIO_MLP "mm.a.mlp.%d.%s"
#define TN_MM_AUDIO_FC "mm.a.fc.%s" // fully connected layer
#define TN_MM_NORM_PRE "mm.a.norm_pre.%s"
#define TN_MM_NORM_MID "mm.a.norm_mid.%s"
// align x to upper multiple of n
#define CLIP_ALIGN(x, n) ((((x) + (n) - 1) / (n)) * (n))
enum projector_type {
PROJECTOR_TYPE_MLP,
PROJECTOR_TYPE_MLP_NORM,
PROJECTOR_TYPE_LDP,
PROJECTOR_TYPE_LDPV2,
PROJECTOR_TYPE_MINICPMV,
PROJECTOR_TYPE_GLM_EDGE,
PROJECTOR_TYPE_QWEN2VL,
PROJECTOR_TYPE_GEMMA3,
PROJECTOR_TYPE_IDEFICS3,
PROJECTOR_TYPE_PIXTRAL,
PROJECTOR_TYPE_QWEN25VL,
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
PROJECTOR_TYPE_ULTRAVOX,
PROJECTOR_TYPE_INTERNVL,
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
PROJECTOR_TYPE_LLAMA4,
PROJECTOR_TYPE_QWEN2A,
PROJECTOR_TYPE_QWEN25O, // will be replaced by QWEN2A or QWEN25VL depending on clip_ctx
PROJECTOR_TYPE_VOXTRAL,
PROJECTOR_TYPE_LFM2,
PROJECTOR_TYPE_KIMIVL,
PROJECTOR_TYPE_UNKNOWN,
};
static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
{ PROJECTOR_TYPE_MLP, "mlp" },
{ PROJECTOR_TYPE_LDP, "ldp" },
{ PROJECTOR_TYPE_LDPV2, "ldpv2"},
{ PROJECTOR_TYPE_MINICPMV, "resampler"},
{ PROJECTOR_TYPE_GLM_EDGE, "adapter"},
{ PROJECTOR_TYPE_QWEN2VL, "qwen2vl_merger"},
{ PROJECTOR_TYPE_QWEN25VL, "qwen2.5vl_merger"},
{ PROJECTOR_TYPE_GEMMA3, "gemma3"},
{ PROJECTOR_TYPE_IDEFICS3, "idefics3"},
{ PROJECTOR_TYPE_PIXTRAL, "pixtral"},
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
{ PROJECTOR_TYPE_ULTRAVOX, "ultravox"},
{ PROJECTOR_TYPE_INTERNVL, "internvl"},
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
{ PROJECTOR_TYPE_LLAMA4, "llama4"},
{ PROJECTOR_TYPE_QWEN2A, "qwen2a"},
{ PROJECTOR_TYPE_QWEN25O, "qwen2.5o"},
{ PROJECTOR_TYPE_VOXTRAL, "voxtral"},
{ PROJECTOR_TYPE_LFM2, "lfm2"},
{ PROJECTOR_TYPE_KIMIVL, "kimivl"},
};
static projector_type clip_projector_type_from_string(const std::string & str) {
for (const auto & pair : PROJECTOR_TYPE_NAMES) {
if (pair.second == str) {
return pair.first;
}
}
return PROJECTOR_TYPE_UNKNOWN;
}
// RGB uint8 image
struct clip_image_u8 {
int nx;
int ny;
std::vector<uint8_t> buf;
};
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
// For images, buf.size() == nx*ny*3
// Memory layout: RGBRGBRGB...
// For audio, only one channel is used, buf.size() == nx*ny
// nx will be n_frames and ny will be n_mel
struct clip_image_f32 {
int nx;
int ny;
std::vector<float> buf;
};
//
// logging
//
static void clip_log_callback_default(enum ggml_log_level level, const char * text, void * user_data) {
(void) level;
(void) user_data;
fputs(text, stderr);
fflush(stderr);
}
struct clip_logger_state {
ggml_log_level verbosity_thold;
ggml_log_callback log_callback;
void * log_callback_user_data;
};
extern struct clip_logger_state g_logger_state;
static void clip_log_internal_v(enum ggml_log_level level, const char * format, va_list args) {
if (format == NULL) {
return;
}
va_list args_copy;
va_copy(args_copy, args);
char buffer[128];
int len = vsnprintf(buffer, 128, format, args);
if (len < 128) {
g_logger_state.log_callback(level, buffer, g_logger_state.log_callback_user_data);
} else {
char * buffer2 = (char *) calloc(len + 1, sizeof(char));
vsnprintf(buffer2, len + 1, format, args_copy);
buffer2[len] = 0;
g_logger_state.log_callback(level, buffer2, g_logger_state.log_callback_user_data);
free(buffer2);
}
va_end(args_copy);
}
static void clip_log_internal(enum ggml_log_level level, const char * format, ...) {
va_list args;
va_start(args, format);
clip_log_internal_v(level, format, args);
va_end(args);
}
#define LOG_TMPL(level, ...) \
do { \
if ((level) >= g_logger_state.verbosity_thold) { \
clip_log_internal((level), __VA_ARGS__); \
} \
} while (0)
#define LOG_INF(...) LOG_TMPL(GGML_LOG_LEVEL_INFO, __VA_ARGS__)
#define LOG_WRN(...) LOG_TMPL(GGML_LOG_LEVEL_WARN, __VA_ARGS__)
#define LOG_ERR(...) LOG_TMPL(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
#define LOG_DBG(...) LOG_TMPL(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__)
#define LOG_CNT(...) LOG_TMPL(GGML_LOG_LEVEL_CONT, __VA_ARGS__)
//
// cpp wrappers
//
// wrapper for clip_image_size
struct clip_image_size_deleter {
void operator()(clip_image_size * val) { clip_image_size_free(val); }
};
typedef std::unique_ptr<clip_image_size, clip_image_size_deleter> clip_image_size_ptr;
// wrapper for clip_image_u8
struct clip_image_u8_deleter {
void operator()(clip_image_u8 * val) { clip_image_u8_free(val); }
};
typedef std::unique_ptr<clip_image_u8, clip_image_u8_deleter> clip_image_u8_ptr;
// wrapper for clip_image_f32
struct clip_image_f32_deleter {
void operator()(clip_image_f32 * val) { clip_image_f32_free(val); }
};
typedef std::unique_ptr<clip_image_f32, clip_image_f32_deleter> clip_image_f32_ptr;
struct clip_image_u8_batch {
std::vector<clip_image_u8_ptr> entries;
};
struct clip_image_f32_batch {
std::vector<clip_image_f32_ptr> entries;
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
bool is_audio = false;
// for llava-uhd style models, we need to know the grid size
// note: entries.size() == grid_x * grid_y + 1 (one overview image)
int grid_x = 0;
int grid_y = 0;
clip_image_f32_batch clone() const {
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
clip_image_f32_batch new_batch{
/* entries */ {},
/* is_audio */ is_audio,
/* grid_x */ grid_x,
/* grid_y */ grid_y,
};
new_batch.entries.reserve(entries.size());
for (const auto & entry : entries) {
new_batch.entries.emplace_back(new clip_image_f32(*entry));
}
return new_batch;
}
};
//
// common utils
//
static std::string string_format(const char * fmt, ...) {
va_list ap;
va_list ap2;
va_start(ap, fmt);
va_copy(ap2, ap);
int size = vsnprintf(NULL, 0, fmt, ap);
GGML_ASSERT(size >= 0 && size < INT_MAX); // NOLINT
std::vector<char> buf(size + 1);
int size2 = vsnprintf(buf.data(), size + 1, fmt, ap2);
GGML_ASSERT(size2 == size);
va_end(ap2);
va_end(ap);
return std::string(buf.data(), buf.size());
}
static void string_replace_all(std::string & s, const std::string & search, const std::string & replace) {
if (search.empty()) {
return;
}
std::string builder;
builder.reserve(s.length());
size_t pos = 0;
size_t last_pos = 0;
while ((pos = s.find(search, last_pos)) != std::string::npos) {
builder.append(s, last_pos, pos - last_pos);
builder.append(replace);
last_pos = pos + search.length();
}
builder.append(s, last_pos, std::string::npos);
s = std::move(builder);
}
// split string by a `std::string delim` instead of `char delim`
static std::vector<std::string> string_split_str(std::string s, const std::string & delimiter) {
std::vector<std::string> tokens;
size_t pos = 0;
std::string token;
while ((pos = s.find(delimiter)) != std::string::npos) {
token = s.substr(0, pos);
tokens.push_back(token);
s.erase(0, pos + delimiter.length());
}
tokens.push_back(s);
return tokens;
}
//
// gguf utils
//
static std::string gguf_data_to_str(enum gguf_type type, const void * data, int i) {
switch (type) {
case GGUF_TYPE_UINT8: return std::to_string(((const uint8_t *)data)[i]);
case GGUF_TYPE_INT8: return std::to_string(((const int8_t *)data)[i]);
case GGUF_TYPE_UINT16: return std::to_string(((const uint16_t *)data)[i]);
case GGUF_TYPE_INT16: return std::to_string(((const int16_t *)data)[i]);
case GGUF_TYPE_UINT32: return std::to_string(((const uint32_t *)data)[i]);
case GGUF_TYPE_INT32: return std::to_string(((const int32_t *)data)[i]);
case GGUF_TYPE_UINT64: return std::to_string(((const uint64_t *)data)[i]);
case GGUF_TYPE_INT64: return std::to_string(((const int64_t *)data)[i]);
case GGUF_TYPE_FLOAT32: return std::to_string(((const float *)data)[i]);
case GGUF_TYPE_FLOAT64: return std::to_string(((const double *)data)[i]);
case GGUF_TYPE_BOOL: return ((const bool *)data)[i] ? "true" : "false";
default: return string_format("unknown type %d", type);
}
}
static std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i) {
const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i);
switch (type) {
case GGUF_TYPE_STRING:
return gguf_get_val_str(ctx_gguf, i);
case GGUF_TYPE_ARRAY:
{
const enum gguf_type arr_type = gguf_get_arr_type(ctx_gguf, i);
int arr_n = gguf_get_arr_n(ctx_gguf, i);
const void * data = arr_type == GGUF_TYPE_STRING ? nullptr : gguf_get_arr_data(ctx_gguf, i);
std::stringstream ss;
ss << "[";
for (int j = 0; j < arr_n; j++) {
if (arr_type == GGUF_TYPE_STRING) {
std::string val = gguf_get_arr_str(ctx_gguf, i, j);
// escape quotes
string_replace_all(val, "\\", "\\\\");
string_replace_all(val, "\"", "\\\"");
ss << '"' << val << '"';
} else if (arr_type == GGUF_TYPE_ARRAY) {
ss << "???";
} else {
ss << gguf_data_to_str(arr_type, data, j);
}
if (j < arr_n - 1) {
ss << ", ";
}
}
ss << "]";
return ss.str();
}
default:
return gguf_data_to_str(type, gguf_get_val_data(ctx_gguf, i), 0);
}
}
update vendored llama.cpp and ggml (#11823) * TEMPORARY: Update the llama.cpp upstream to my fork's Granite Four branch This will be redone once my branch is merged upstream in llama.cpp * feat: Update all patches There are a number that are no longer needed at all: - 0003-embeddings: Embeddings entirely overhauled on master - 0008-ensure-KV-cache-is-fully-defragmented: KV caching entirely overhauled on master - 0019-metal-add-mean-kernel-14267: Merged upstream - 0020-CUDA-add-mean-operation-14313: Merged upstream * feat: Sync llama.cpp and ggml * fix: Update rsync-filter for all moved/new/removed files * fix: Add files missing from sync * fix: Update ggml rsync-filter for new ggml-cpu/arch subdirs * fix: Add ggml files missing from sync * fix: Narrow llama.cpp rsync-filter to not include mtmd main tool cpp files * fix: Remove mtmd main cpp files * fix: Add missing include in sampling_ext.cpp * fix: Update llama.go to use mtmd instead of clip/llava * fix: Add patch for mtmd_input_text * chore: Ignore *.patched in the patch directory * fix: Fix support for arch-specific ggml-cpu source files with new arrangement In https://github.com/ggml-org/llama.cpp/pull/13892, all arch-specific implementations were split out into a nested tree structure under ggml-cpu/arch. This conflicts with standard CGO layout where all arch-specific source files are expected to live in the same directory as the parent go module and use suffixes based on GOOS and GOARCH. As such, there were really two options for getting this to work: 1. Add a patch on top of the GGML sync to rearrange the files to match the GO layout convention 2. Use CGO directives to conditionally include the nested source files in the compilation units This commit does (2) in order to minimize the set of changes needed on top of the upstream file layout. To get this to work, there are two key things needed: 1. In cpu.go, #cgo directives are added to explicitly set __${GOARCH}__ in the preprocessor directives 2. In arch-impls.c|cpp, use an #ifdef | #elif defined | #endif chain to explicitly include the .c|.cpp files for the given architecture from the nested directory * fix: Use mtmd_helper to correctly load the bitmap for the image * fix: Apply patch for mtmd_text_input * fix: Add missing stb to llama.cpp rsync-filter * fix: Add sync'ed stb vendored header * fix: Use c++17 and include vendor for go wrapper modules * fix: Update patch 0015 for upstream implementation of uuid * feat: Bump to the latest tip of the branch * fix: Update patches for bump * feat: Bump back to the cenral repo and point at the latest master This includes granite 4 and a number of other model architectures! * fix: Revert changes to ggml export GPU UUID patch * fix: Add patch for GGML_VERSION and GGML_COMMIT constants * feat: Sync all patched code * build: Include cmake/common.cmake in ggml sync * build: Add top-level include for GNUINstallDirs in CMakeLists.txt This is used to populate CMAKE_INSTALL_BINDIR * fix: Add a patch to avoid power throttling API on non-msvc windows builds * fix: Sync patch changes for ggml-cpu.c * feat: Bump llama.cpp to 4a4f42 This picks up support for Kimi K2 and PLaMO-2 * feat: Sync llama.cpp * fix: Handle multi-chunk image encodings from mtmd * fix: Re-number patches after merge with `main` * feat: Bump to 41e78c in the makefile * fix: Fix Solar and argsort/copy patches after bump * fix: Remove Gemma3n CUDA Graphs patch It was implemented upstream: https://github.com/ggml-org/llama.cpp/pull/14741 * feat: Sync llama.cpp / ggml after latest bump * build: Remove unnecessary CFLAGS definitions in cpu.go * fix: Remove unnecessary additions in the rsync-filter * fix: Remove unused vendored code for chat template parsing * Revert "fix: Remove Gemma3n CUDA Graphs patch" This reverts commit d724caced3ce21f08924d4b7801f94ce6638f6ea. * fix: Update 0020 CUDA Graphs for gemma3n to keep both llama.cpp and ollama fixes https://github.com/ollama/ollama/pull/11195#issuecomment-3137312394 * fix: Sync ggml-cuda.cu after keeping both style cuda graph fixes for gemma3n * unwind mxfp4 patch Prepare to bump ggml with their impl for mxfp4 * bump * fix windows build error * Convert tensors at load time Repack the mxfp4 tensors as ggmls kernels expect them to be. * convert mlp bf16 to f32 * buffer the conversion better * reshape earlier * openai swiglu * add ids * split qkv, gate_up * fix nested alt tags * fast attention * remove debug messages * fix lint * remove redundant test * remap values only if source/target are different * add back i32->i32 copy * refactor cpu quants * clean up vendor * update patch instructions * clean up patches * remove webgpu * update mem * also handle gpt-oss * revert convert changes --------- Signed-off-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Gabe Goodhart <ghart@us.ibm.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
2025-08-15 05:42:58 +08:00
//
// debugging
//
static void print_tensor_shape(ggml_tensor * t) {
printf("%s.shape = [", t->name);
for (int i = 0; i < ggml_n_dims(t); ++i) {
printf("%" PRId64, t->ne[i]);
if (i < ggml_n_dims(t) - 1) {
printf(", ");
}
}
printf("]\n");
}
static void print_tensor_data(ggml_tensor * t, uint8_t * data, int64_t n) {
ggml_type type = t->type;
int64_t * ne = t->ne;
size_t * nb = t->nb;
for (int64_t i3 = 0; i3 < ne[3]; i3++) {
printf("%s.data: [\n", t->name);
for (int64_t i2 = 0; i2 < ne[2]; i2++) {
if (i2 == n && ne[2] > 2*n) {
printf(" ..., \n");
i2 = ne[2] - n;
}
printf(" [\n");
for (int64_t i1 = 0; i1 < ne[1]; i1++) {
if (i1 == n && ne[1] > 2*n) {
printf(" ..., \n");
i1 = ne[1] - n;
}
printf(" [");
for (int64_t i0 = 0; i0 < ne[0]; i0++) {
if (i0 == n && ne[0] > 2*n) {
printf("..., ");
i0 = ne[0] - n;
}
size_t i = i3 * nb[3] + i2 * nb[2] + i1 * nb[1] + i0 * nb[0];
float v;
if (type == GGML_TYPE_F16) {
v = ggml_fp16_to_fp32(*(ggml_fp16_t *) &data[i]);
} else if (type == GGML_TYPE_F32) {
v = *(float *) &data[i];
} else if (type == GGML_TYPE_I32) {
v = (float) *(int32_t *) &data[i];
} else if (type == GGML_TYPE_I16) {
v = (float) *(int16_t *) &data[i];
} else if (type == GGML_TYPE_I8) {
v = (float) *(int8_t *) &data[i];
} else {
GGML_ABORT("fatal error");
}
printf("%8.4f", v);
if (i0 < ne[0] - 1) printf(", ");
}
printf("],\n");
}
printf(" ],\n");
}
printf(" ]\n");
}
}
//
// API used internally with mtmd
//
projector_type clip_get_projector_type(const struct clip_ctx * ctx);